library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.1.2     ✔ readr     2.1.4
## ✔ forcats   1.0.0     ✔ stringr   1.5.0
## ✔ ggplot2   3.4.2     ✔ tibble    3.2.1
## ✔ lubridate 1.9.2     ✔ tidyr     1.3.0
## ✔ purrr     1.0.1     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(plotly)

## 
## Attaching package: 'plotly'
## 
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## 
## The following object is masked from 'package:stats':
## 
##     filter
## 
## The following object is masked from 'package:graphics':
## 
##     layout

prefix <- "https://raw.githubusercontent.com/relund/riverdata/master/data/"
# prefix <- "../../data/"

# Water levels
dat <-
  read_csv(paste0(prefix, "data_skjern_waterlevel_web.csv"),
           locale = locale(tz = "CET"),
           col_types = "Tffdd") 



# 
# 
# 
# p <- ggplot(data = dat, mapping = aes(x = Date, y = LevelRelative, color = YGroup, size = 2, group = 1, text = str_c("Dato: ", format(Date, "%e. %b %H:00"), '<br>Vandstand: ', LevelRelative, ' cm'))) +
#   geom_line(data = dat %>% filter(Place == "Fjederholt Å - A18"))
# ggplotly(p, tooltip = c("text"))
# 
#   yLab <- if_else(input$iScaleW == "LevelRelative", "Relativ vandstand (cm)", "Vandstand (cm)")
#   tmp <- datWLevel %>%
#       filter(Place == input$iPlaceW) %>%
#       transmute(Dato = Date, Vandstand = .data[[input$iScaleW]], Year = YGroup, Size = if_else(Year == year(now()), 2, 1))
#   p <- ggplot(
#     data = tmp,
#     aes(x = Dato, y = Vandstand, color = Year, size = Size, group = 1,   # group = 1,  must be added for working https://stackoverflow.com/questions/45948926/ggplotly-text-aesthetic-causing-geom-line-to-not-display
        # text = str_c("Dato: ", format(Dato, "%e. %b %H:00"), '<br>Vandstand: ', Vandstand, ' cm')))
    # geom_smooth(aes(group = Group), na.rm = T, method = lm, formula = y ~ splines::bs(x, 40),
    #             se = FALSE, color = "grey", lwd=0.5) +

  # if (input$iScaleW == "LevelRelative") p <- p + geom_hline(yintercept = 0, colour="black")
  # p <- p +
  #   geom_line(na.rm = T) + 
  #   geom_text(data = tmp %>% group_by(Year) %>% filter(Dato == max(Dato)), 
  #             aes(label = Year, x = max(.data$Dato) + hours(12), y = Vandstand, color = Year), 
  #             size = 3, hjust = "left") + 
  #   ylab(yLab) + xlab("Dato") +
  #   theme(axis.text.x  = element_text(angle=90, hjust = 1, vjust = 1), legend.position="none") + 
  #   scale_x_datetime(date_labels = "%e. %b", date_breaks = "1 day") + #, limits = c(min(tmp$Dato), max(tmp$Dato) + hours(18))) +
  #   scale_size_continuous(range = c(0.25, 1))
  # ggplotly(p, tooltip = c("text"))

dat

## # A tibble: 15,025 × 5
##    Date                Place              YGroup Level LevelRelative
##    <dttm>              <fct>              <fct>  <dbl>         <dbl>
##  1 2020-08-14 02:22:30 Fjederholt Å - A18 2018   4042.          27.9
##  2 2020-08-14 03:22:30 Fjederholt Å - A18 2018   4042.          27.8
##  3 2020-08-14 04:22:30 Fjederholt Å - A18 2018   4042.          27.8
##  4 2020-08-14 05:22:30 Fjederholt Å - A18 2018   4042.          27  
##  5 2020-08-14 06:22:30 Fjederholt Å - A18 2018   4041.          26.2
##  6 2020-08-14 07:22:30 Fjederholt Å - A18 2018   4040.          25.5
##  7 2020-08-14 08:22:30 Fjederholt Å - A18 2018   4039.          24.8
##  8 2020-08-14 09:22:30 Fjederholt Å - A18 2018   4039.          24.2
##  9 2020-08-14 10:22:30 Fjederholt Å - A18 2018   4038           23.6
## 10 2020-08-14 11:22:30 Fjederholt Å - A18 2018   4038.          23.1
## # ℹ 15,015 more rows

dat1 <- dat %>% 
  select(-Level) %>% 
  pivot_wider(names_from = Place, values_from = LevelRelative)

create_buttons <- function(df, y_axis_var_names) {
  vi <- vector("list", length(y_axis_var_names))
  vi[1:length(vi)] <- F
  lapply(
    1:length(y_axis_var_names),
    FUN = function(idx, df) {
      vi[idx] <- T
      if (idx > 1) vi[idx-1] <- F
      button <- list(
        method = 'restyle',
        args = list("visible", vi), 
        label = y_axis_var_names[idx]
      )
    },
    df
  )
}
y_axis_var_names <- dat %>% distinct(Place) %>% pull(Place) %>% as.character()
fig <- plot_ly(dat1) 
tmp <- dat1 %>% transmute(Dato = Date, YGroup, Place = dat1[[3]])
fig <- fig %>% add_lines( x = ~Dato, y = ~Place, split = ~YGroup, data = tmp, visible = T) 
for(c in 4:ncol(dat1)) {
  tmp <- dat1 %>% transmute(Dato = Date, YGroup, Place = dat1[[c]])
  fig <- fig %>% add_lines( x = ~Dato, y = ~Place, split = ~YGroup, data = tmp, visible = F) 
}
fig %>% 
  layout(
    # title = "Drop down menus - Styling",
    xaxis = list(domain = c(0, 1)),
    yaxis = list(title = "Relativ vandstand"),
    updatemenus = list(
      list(
        y = 1,
        x = 0.22,
        buttons = create_buttons(dat1, y_axis_var_names)
    )
  ))